Author

Miguel Arenas

Universidade de VigoORCID 0000-0002-0516-2717Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Luis Daniel González-VázqueziD· 2 shared Ana Prado-Comesaña· 1 shared Darren Patrick MartiniD· 1 shared David FerreiroiD· 1 shared Paula Iglesias-RivasiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersEvolutionary Biology

Luis Daniel González-VázquezORCID

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivPreprintJul 30, 2026

SRARec: A program for detecting recombination in sequencing reads and its application to uncover recombination patterns in SARS-CoV-2 and HIV-1

Luis Daniel González-Vázquez, Paula Iglesias-Rivas, Miguel Arenas, Darren Patrick Martin

SRARec detects recombination in sequencing reads, revealing distinct breakpoint patterns in SARS-CoV-2 and HIV-1.

DOI 10.64898/2026.07.30.741747

viruswhole-genome sequencing

𝕏 PostBluesky

Evolutionary BiologyeLifePeer-reviewedSep 24, 2025

Forecasting protein evolution by integrating birth-death population models with structurally constrained substitution models

David Ferreiro, Luis Daniel González-Vázquez, Ana Prado-Comesaña, Miguel Arenas

This paper forecasts protein evolution by integrating birth-death population models with structurally constrained substitution models, showing acceptable errors in folding stability predictions but larger errors in sequence predictions.

3 citations

protein structuredeep learning

𝕏 PostBluesky